code: def test_numpy_dict_list_stacking():
      stacked = stack_numpy_dict_list(unstacked_example())
      for k, v in stacked_example().items():
          assert np.all(v == stacked[k])
  
file_path: maze/maze/test/train/utils/test_train_utils.py
imports: import numpy
  import torch
  from maze.perception.perception_utils import convert_to_torch
  from maze.train.utils.train_utils import unstack_numpy_list_dict, stack_numpy_dict_list, stack_torch_dict_list
label_desc: Use image node_id 4 for calling a global function with example usage: test_numpy_dict_list_stacking() without return types